






"""simple docstring"""


from __future__ import annotations

import math




class 						__UpperCamelCase     :
					def __init__(							self							:	int     , UpperCAmelCase							:	int   )	->       None:
											lowerCAmelCase   :List[Any]						=			size
											# approximate the overall size of segment tree with given value
											lowerCAmelCase   :List[Any]						=			[0 for i in range(0     , 4 * size   )]
											# create array to store lazy update
											lowerCAmelCase   :Optional[Any]						=			[0 for i in range(0     , 4 * size   )]
											lowerCAmelCase   :Optional[int]						=			[0 for i in range(0     , 4 * size   )]  # flag for lazy update
					def        UpperCAmelCase__ (							self							:	Union[str, Any]     , UpperCAmelCase							:	int   )	->       int:
											return idx * 2
					def        UpperCAmelCase__ (							self							:	Optional[Any]     , UpperCAmelCase							:	int   )	->       int:
											return idx * 2 + 1
					def        UpperCAmelCase__ (							self							:	str     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	list[int]   )	->       None:
											if left_element == right_element:
																	lowerCAmelCase   :int						=			a[left_element - 1]
											else:
																	lowerCAmelCase   :int						=			(left_element + right_element) // 2
																	self.build(self.left(UpperCAmelCase   )     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase   )
																	self.build(self.right(UpperCAmelCase   )     , mid + 1     , UpperCAmelCase     , UpperCAmelCase   )
																	lowerCAmelCase   :Any						=			max(
																	    self.segment_tree[self.left(UpperCAmelCase   )]     , self.segment_tree[self.right(UpperCAmelCase   )]   )
					def        UpperCAmelCase__ (							self							:	Optional[Any]     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int   )	->       bool:
											if self.flag[idx] is True:
																	lowerCAmelCase   :Dict						=			self.lazy[idx]
																	lowerCAmelCase   :Tuple						=			False
																	if left_element != right_element:
																							lowerCAmelCase   :Tuple						=			self.lazy[idx]
																							lowerCAmelCase   :Any						=			self.lazy[idx]
																							lowerCAmelCase   :List[Any]						=			True
																							lowerCAmelCase   :Optional[Any]						=			True

											if right_element < a or left_element > b:
																	return True
											if left_element >= a and right_element <= b:
																	lowerCAmelCase   :str						=			val
																	if left_element != right_element:
																							lowerCAmelCase   :Tuple						=			val
																							lowerCAmelCase   :Optional[int]						=			val
																							lowerCAmelCase   :str						=			True
																							lowerCAmelCase   :Union[str, Any]						=			True
																	return True
											lowerCAmelCase   :Dict						=			(left_element + right_element) // 2
											self.update(self.left(UpperCAmelCase   )     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase   )
											self.update(self.right(UpperCAmelCase   )     , mid + 1     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase   )
											lowerCAmelCase   :Union[str, Any]						=			max(
											    self.segment_tree[self.left(UpperCAmelCase   )]     , self.segment_tree[self.right(UpperCAmelCase   )]   )
											return True
					def        UpperCAmelCase__ (							self							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int     , UpperCAmelCase							:	int   )	->       int | float:
											if self.flag[idx] is True:
																	lowerCAmelCase   :Optional[Any]						=			self.lazy[idx]
																	lowerCAmelCase   :Optional[Any]						=			False
																	if left_element != right_element:
																							lowerCAmelCase   :List[Any]						=			self.lazy[idx]
																							lowerCAmelCase   :Dict						=			self.lazy[idx]
																							lowerCAmelCase   :List[str]						=			True
																							lowerCAmelCase   :Optional[Any]						=			True
											if right_element < a or left_element > b:
																	return -math.inf
											if left_element >= a and right_element <= b:
																	return self.segment_tree[idx]
											lowerCAmelCase   :List[str]						=			(left_element + right_element) // 2
											lowerCAmelCase   :Optional[int]						=			self.query(self.left(UpperCAmelCase   )     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase   )
											lowerCAmelCase   :Any						=			self.query(self.right(UpperCAmelCase   )     , mid + 1     , UpperCAmelCase     , UpperCAmelCase     , UpperCAmelCase   )
											return max(UpperCAmelCase     , UpperCAmelCase   )
					def __str__(							self							:	Any   )	->       str:
											return str([self.query(1     , 1     , self.size     , UpperCAmelCase     , UpperCAmelCase   ) for i in range(1     , self.size + 1   )]   )


if __name__ == "__main__":
		__SCREAMING_SNAKE_CASE   =   [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
		__SCREAMING_SNAKE_CASE   =   15
		__SCREAMING_SNAKE_CASE   =   SegmentTree(size)
		segt.build(1, 1, size, A)
		print(segt.query(1, 1, size, 4, 6))
		print(segt.query(1, 1, size, 7, 11))
		print(segt.query(1, 1, size, 7, 12))
		segt.update(1, 1, size, 1, 3, 1_11)
		print(segt.query(1, 1, size, 1, 15))
		segt.update(1, 1, size, 7, 8, 2_35)
		print(segt)







"""simple docstring"""


import argparse

import torch

from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging


logging.set_verbosity_info()


def        UpperCAmelCase      (					a__     ,      a__     ,      a__ ):





						'''simple docstring'''






						lowerCAmelCase   :Tuple						=			MobileBertConfig.from_json_file(a__ )
						print(F"""Building PyTorch model from configuration: {config}""" )
						lowerCAmelCase   :Tuple						=			MobileBertForPreTraining(a__ )
						# Load weights from tf checkpoint
						lowerCAmelCase   :Any						=			load_tf_weights_in_mobilebert(a__     ,      a__     ,      a__ )
						# Save pytorch-model
						print(F"""Save PyTorch model to {pytorch_dump_path}""" )
						torch.save(model.state_dict()     ,      a__ )


if __name__ == "__main__":
		__SCREAMING_SNAKE_CASE   =   argparse.ArgumentParser()
		# Required parameters
		parser.add_argument(
		    '--tf_checkpoint_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
		)
		parser.add_argument(
		    '--mobilebert_config_file',
		    default=None,
		    type=str,
		    required=True,
		    help=(
		        'The config json file corresponding to the pre-trained MobileBERT model. \n'
		        'This specifies the model architecture.'
		    ),
		)
		parser.add_argument(
		    '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
		)
		__SCREAMING_SNAKE_CASE   =   parser.parse_args()
		convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.mobilebert_config_file, args.pytorch_dump_path)